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Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system. (English) Zbl 1394.90216
Summary: Gully pots or storm drains are located at the side of roads to provide drainage for surface water. We consider gully pot maintenance as a risk-driven maintenance problem. We explore policies for preventative and corrective maintenance actions, and build optimised routes for maintenance vehicles. Our solutions take the risk impact of gully pot failure and its failure behaviour into account, in the presence of factors such as location, season and current status. The aim is to determine a maintenance policy that can automatically adjust its scheduling strategy in line with changes in the local environment, to minimise the surface flooding risk due to clogged gully pots. We introduce a rolling planning strategy, solved by a hyper-heuristic method. Results show the behaviour and strength of the automated adjustment in a range of real-world scenarios.

90B25 Reliability, availability, maintenance, inspection in operations research
90B80 Discrete location and assignment
90B10 Deterministic network models in operations research
90C27 Combinatorial optimization
90B35 Deterministic scheduling theory in operations research
90C35 Programming involving graphs or networks
Full Text: DOI
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